--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\cboix\Documents\SpiderOak Hive\NATIONAL IDENTITY\JEWISH NAT IDENTITY\PAPER - political emancipation and national identity\FINAL APSR VERSION\FINAL EMPIRICS\RESULTS\results 
> -- estimations for Appendix C.log
  log type:  text
 opened on:  27 Sep 2024, 11:56:51

. do "C:\Users\cboix\AppData\Local\Temp\STD00000000.tmp"

. global covariates "jewishpop"

. 
. * 1. Change in jewish population
. 
.  *gen change_jewish1900to1921=( jewishpop-jewishpop1900)/jewishpop1900
. 
. * 2. Number public schools per capita
. 
. * 3. Literacy rates from 1931
. 
. * The 1931 census volumes include (Table 17) information on literacy at the miasto and rural level
. * However, in most cases, the town level is for all towns aggregated in a given powiat.
. * I have created 2 types of variables: (a) raw data from the volumes (total_over10 & literate_over10) and then (b) imputed values where
. * I assign the aggregate miasto data of each powiat to all the miasta in the respective powiat (imputedtotal_over10 & imputedliterate_over10)
. 
. * 4. Electoral variables:
. 
. *turnout
. * valid votes
. * vote for main political parties in 1922
. 
. * For the process to add the data provided by Wittenberg (july 2020) and complted using the election returns in pdf's, see text file "steps to add Wittenberg data to my data set -- january 202
> 4.txt"
. 
. * 5. Quality of information coded from Pinkas, etc.
. 
. * quality information in sources (recoded as 1 to 4) from variable "quality_inform" to variable "quality"
. 
. * 6. Informal "institutions": freeloan associations (per capita)
. 
. 
. 
. * Bandwidth: MSE // All Towns
. 
. * global covariates "jewishpop"
. 
. * jewish population change
. 
. rdrobust change_jewish1900to1921 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        530
-------------------+----------------------            BW type       =      mserd
     Number of obs |       423         107            Kernel        = Triangular
Eff. Number of obs |        56          47            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 57948.195   57948.195
       BW bias (b) | 83049.055   83049.055
         rho (h/b) |     0.698       0.698

Outcome: change_jewish1900to1921. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.08149     .11934   -0.6828  0.495   -.315394      .152424
    Bias-corrected |  -.0778     .11934   -0.6519  0.514   -.311709      .156109
            Robust |  -.0778     .13959   -0.5574  0.577   -.351387      .195786
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. * # public schools per capita
. 
. rdrobust schoolper10thousand distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        612
-------------------+----------------------            BW type       =      mserd
     Number of obs |       502         110            Kernel        = Triangular
Eff. Number of obs |       130          72            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.16e+05    1.16e+05
       BW bias (b) |  1.57e+05    1.57e+05
         rho (h/b) |     0.740       0.740

Outcome: schoolper10thousand. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  1.0159     .73883   1.3750   0.169   -.432177      2.46399
    Bias-corrected |   .9278     .73883   1.2558   0.209   -.520289      2.37588
            Robust |   .9278     .84695   1.0955   0.273     -.7322      2.58779
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. * literacy rates in 1931
. 
. rdrobust prop_imputedliterate1931 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        530
-------------------+----------------------            BW type       =      mserd
     Number of obs |       427         103            Kernel        = Triangular
Eff. Number of obs |       139          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.30e+05    1.30e+05
       BW bias (b) |  2.10e+05    2.10e+05
         rho (h/b) |     0.621       0.621

Outcome: prop_imputedliterate1931. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .01663     .01301   1.2782   0.201    -.00887      .042129
    Bias-corrected |  .01425     .01301   1.0953   0.273   -.011249       .03975
            Robust |  .01425     .01527   0.9331   0.351   -.015682      .044183
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. * political variables
. 
. rdrobust prop_votes_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        615
-------------------+----------------------            BW type       =      mserd
     Number of obs |       500         115            Kernel        = Triangular
Eff. Number of obs |        78          58            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 75231.616   75231.616
       BW bias (b) |  1.36e+05    1.36e+05
         rho (h/b) |     0.553       0.553

Outcome: prop_votes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |    .003     .03351   0.0895   0.929   -.062673      .068672
    Bias-corrected | -.01275     .03351   -0.3806  0.704   -.078424      .052921
            Robust | -.01275     .03737   -0.3412  0.733   -.085997      .060494
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_validvotes_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        610
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         115            Kernel        = Triangular
Eff. Number of obs |        83          61            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 78707.492   78707.492
       BW bias (b) |  1.34e+05    1.34e+05
         rho (h/b) |     0.589       0.589

Outcome: prop_validvotes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00697     .03326   0.2095   0.834   -.058217       .07215
    Bias-corrected |  -.0074     .03326   -0.2224  0.824    -.07258      .057787
            Robust |  -.0074      .0374   -0.1978  0.843   -.080691      .065898
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list1_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        542
-------------------+----------------------            BW type       =      mserd
     Number of obs |       497          45            Kernel        = Triangular
Eff. Number of obs |        79          30            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 75569.178   75569.178
       BW bias (b) |  1.19e+05    1.19e+05
         rho (h/b) |     0.636       0.636

Outcome: prop_list1_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.00796     .01892   -0.4209  0.674   -.045042      .029115
    Bias-corrected | -.00337     .01892   -0.1781  0.859   -.040448       .03371
            Robust | -.00337     .02119   -0.1590  0.874   -.044896      .038158
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list2_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        564
-------------------+----------------------            BW type       =      mserd
     Number of obs |       483          81            Kernel        = Triangular
Eff. Number of obs |        59          42            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 59538.761   59538.761
       BW bias (b) | 85054.037   85054.037
         rho (h/b) |     0.700       0.700

Outcome: prop_list2_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00511      .0189   0.2705   0.787   -.031931      .042154
    Bias-corrected |  .00894      .0189   0.4730   0.636   -.028104      .045981
            Robust |  .00894     .02172   0.4115   0.681   -.033635      .051512
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list3_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        467
-------------------+----------------------            BW type       =      mserd
     Number of obs |       354         113            Kernel        = Triangular
Eff. Number of obs |        82          61            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 79061.539   79061.539
       BW bias (b) |  1.33e+05    1.33e+05
         rho (h/b) |     0.594       0.594

Outcome: prop_list3_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.01295     .01843   -0.7026  0.482   -.049062       .02317
    Bias-corrected | -.01106     .01843   -0.6005  0.548   -.047181      .025051
            Robust | -.01106      .0222   -0.4985  0.618   -.054566      .032437
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list7_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        368
-------------------+----------------------            BW type       =      mserd
     Number of obs |       337          31            Kernel        = Triangular
Eff. Number of obs |        12          24            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 30051.048   30051.048
       BW bias (b) | 32340.096   32340.096
         rho (h/b) |     0.929       0.929

Outcome: prop_list7_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .0126     .01588   0.7930   0.428   -.018535      .043726
    Bias-corrected |  .01464     .01588   0.9218   0.357    -.01649      .045771
            Robust |  .01464     .02169   0.6750   0.500   -.027869      .057151
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list8_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        563
-------------------+----------------------            BW type       =      mserd
     Number of obs |       501          62            Kernel        = Triangular
Eff. Number of obs |        68          40            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 65571.637   65571.637
       BW bias (b) | 91682.912   91682.912
         rho (h/b) |     0.715       0.715

Outcome: prop_list8_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .01332     .05318   0.2505   0.802   -.090909      .117557
    Bias-corrected |  .00811     .05318   0.1524   0.879   -.096126       .11234
            Robust |  .00811     .06289   0.1289   0.897   -.115156      .131369
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust prop_list16_1922 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        436
-------------------+----------------------            BW type       =      mserd
     Number of obs |       321         115            Kernel        = Triangular
Eff. Number of obs |        54          66            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.01e+05    1.01e+05
       BW bias (b) |  1.71e+05    1.71e+05
         rho (h/b) |     0.591       0.591

Outcome: prop_list16_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |    .023       .047   0.4894   0.625   -.069122      .115128
    Bias-corrected |  .00657       .047   0.1397   0.889   -.085558      .098692
            Robust |  .00657     .05271   0.1246   0.901   -.096744      .109879
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. * quality
. 
. rdrobust quality distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        505
-------------------+----------------------            BW type       =      mserd
     Number of obs |       397         108            Kernel        = Triangular
Eff. Number of obs |        95          62            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 96515.022   96515.022
       BW bias (b) |  1.31e+05    1.31e+05
         rho (h/b) |     0.734       0.734

Outcome: quality. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.26315      .2472   -1.0645  0.287   -.747643      .221345
    Bias-corrected |  -.2238      .2472   -0.9054  0.365   -.708296      .260692
            Robust |  -.2238     .29066   -0.7700  0.441   -.793494       .34589
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. * informal associations: freeloan per capita
. 
. rdrobust freeloan_percapita distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        229
-------------------+----------------------            BW type       =      mserd
     Number of obs |       139          90            Kernel        = Triangular
Eff. Number of obs |        65          63            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 92829.218   92829.218
       BW bias (b) |  1.26e+05    1.26e+05
         rho (h/b) |     0.734       0.734

Outcome: freeloan_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  2.0e-05    .00044   0.0462   0.963   -.000842      .000883
    Bias-corrected | -4.3e-05    .00044   -0.0972  0.923   -.000905       .00082
            Robust | -4.3e-05    .00054   -0.0787  0.937   -.001109      .001023
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust freeloanwithmiss_percapita distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Triangular
Eff. Number of obs |       194          87            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.64e+05    1.64e+05
       BW bias (b) |  2.05e+05    2.05e+05
         rho (h/b) |     0.801       0.801

Outcome: freeloanwithmiss_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .0003     .00031   0.9731   0.330   -.000308      .000916
    Bias-corrected |  .00034     .00031   1.0809   0.280   -.000275      .000949
            Robust |  .00034     .00039   0.8675   0.386   -.000425        .0011
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. 
. 
. * ALL TOWNS & VILLAGES, bandwiths 50, 20 km
. 
. * BANDWITH: 50 km
. 
. * change in jewish population
. 
. rdrobust change_jewish1900to1921 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        613
-------------------+----------------------            BW type       =     Manual
     Number of obs |       462         151            Kernel        = Triangular
Eff. Number of obs |        73          60            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: change_jewish1900to1921. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0701      .1018   -0.6886  0.491    -.26963      .129434
    Bias-corrected | -.03453      .1018   -0.3392  0.734   -.234065         .165
            Robust | -.03453     .12976   -0.2661  0.790   -.288865      .219801
--------------------------------------------------------------------------------

. 
. * # of public schools per capita
. 
. rdrobust schoolper10thousand distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        736
-------------------+----------------------            BW type       =     Manual
     Number of obs |       554         182            Kernel        = Triangular
Eff. Number of obs |        84          68            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: schoolper10thousand. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .41848     .99321   0.4213   0.674   -1.52817      2.36514
    Bias-corrected |  1.5228     .99321   1.5332   0.125   -.423882      3.46943
            Robust |  1.5228     1.2992   1.1721   0.241   -1.02354      4.06909
--------------------------------------------------------------------------------

. 
. * literacy rates in 1931
. 
. rdrobust prop_imputedliterate1931 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        532
-------------------+----------------------            BW type       =     Manual
     Number of obs |       427         105            Kernel        = Triangular
Eff. Number of obs |        45          38            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_imputedliterate1931. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .02095     .02092   1.0014   0.317   -.020058      .061965
    Bias-corrected |  .03078     .02092   1.4708   0.141   -.010235      .071789
            Robust |  .03078     .02805   1.0973   0.273   -.024196       .08575
--------------------------------------------------------------------------------

. 
. 
. * political variables
. 
. rdrobust prop_votes_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        745
-------------------+----------------------            BW type       =     Manual
     Number of obs |       551         194            Kernel        = Triangular
Eff. Number of obs |        82          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_votes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.00284     .04289   -0.0662  0.947   -.086892      .081217
    Bias-corrected |  -.0214     .04289   -0.4990  0.618   -.105454      .062654
            Robust |  -.0214     .04999   -0.4280  0.669   -.119386      .076586
--------------------------------------------------------------------------------

. rdrobust prop_validvotes_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       545         194            Kernel        = Triangular
Eff. Number of obs |        82          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_validvotes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.01141     .04134   -0.2760  0.783   -.092436      .069616
    Bias-corrected | -.02557     .04134   -0.6186  0.536     -.1066      .055452
            Robust | -.02557     .05009   -0.5106  0.610   -.123744      .072597
--------------------------------------------------------------------------------

. rdrobust prop_list1_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        650
-------------------+----------------------            BW type       =     Manual
     Number of obs |       548         102            Kernel        = Triangular
Eff. Number of obs |        82          40            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list1_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0194     .02525   -0.7681  0.442   -.068888      .030097
    Bias-corrected |  -.0286     .02525   -1.1327  0.257   -.078094      .020891
            Robust |  -.0286     .02979   -0.9600  0.337   -.086995      .029792
--------------------------------------------------------------------------------

. rdrobust prop_list2_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        645
-------------------+----------------------            BW type       =     Manual
     Number of obs |       527         118            Kernel        = Triangular
Eff. Number of obs |        82          56            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list2_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0052     .01763   -0.2951  0.768   -.039751      .029346
    Bias-corrected |  -.0006     .01763   -0.0339  0.973   -.035147       .03395
            Robust |  -.0006     .02256   -0.0265  0.979    -.04481      .043614
--------------------------------------------------------------------------------

. rdrobust prop_list3_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        591
-------------------+----------------------            BW type       =     Manual
     Number of obs |       404         187            Kernel        = Triangular
Eff. Number of obs |        82          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list3_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0302     .02318   -1.3029  0.193    -.07564      .015233
    Bias-corrected | -.03645     .02318   -1.5724  0.116   -.081887      .008985
            Robust | -.03645     .03185   -1.1446  0.252   -.098869      .025967
--------------------------------------------------------------------------------

. rdrobust prop_list7_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        405
-------------------+----------------------            BW type       =     Manual
     Number of obs |       356          49            Kernel        = Triangular
Eff. Number of obs |        31          38            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list7_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .01846     .01247   1.4803   0.139   -.005981      .042894
    Bias-corrected |  .01497     .01247   1.2009   0.230   -.009464       .03941
            Robust |  .01497     .01734   0.8633   0.388   -.019022      .048968
--------------------------------------------------------------------------------

. rdrobust prop_list8_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        662
-------------------+----------------------            BW type       =     Manual
     Number of obs |       552         110            Kernel        = Triangular
Eff. Number of obs |        82          51            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list8_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.05606     .06264   -0.8949  0.371   -.178829      .066718
    Bias-corrected | -.04299     .06264   -0.6864  0.492   -.165768      .079779
            Robust | -.04299     .08503   -0.5056  0.613   -.209655      .123666
--------------------------------------------------------------------------------

. rdrobust prop_list16_1922 distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        557
-------------------+----------------------            BW type       =     Manual
     Number of obs |       363         194            Kernel        = Triangular
Eff. Number of obs |        54          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list16_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .10861     .05786   1.8772   0.060   -.004789      .222012
    Bias-corrected |  .10427     .05786   1.8022   0.072   -.009131       .21767
            Robust |  .10427     .07554   1.3803   0.168   -.043794      .252333
--------------------------------------------------------------------------------

. 
. * quality
. 
. rdrobust quality distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        538
-------------------+----------------------            BW type       =     Manual
     Number of obs |       413         125            Kernel        = Triangular
Eff. Number of obs |        58          58            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: quality. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.09244     .29456   -0.3138  0.754   -.669758      .484882
    Bias-corrected | -.37079     .29456   -1.2588  0.208   -.948113      .206527
            Robust | -.37079     .38548   -0.9619  0.336   -1.12631      .384729
--------------------------------------------------------------------------------

. 
. * informal associations: freeloan
. 
. rdrobust freeloan_percapita distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        230
-------------------+----------------------            BW type       =     Manual
     Number of obs |       140          90            Kernel        = Triangular
Eff. Number of obs |        36          47            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: freeloan_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  3.7e-05    .00061   0.0609   0.951   -.001157      .001231
    Bias-corrected |  .00031     .00061   0.5083   0.611   -.000884      .001503
            Robust |  .00031     .00087   0.3576   0.721   -.001387      .002006
--------------------------------------------------------------------------------

. 
. rdrobust freeloanwithmiss_percapita distance, kernel(triangular) p(1) h(50000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       547         192            Kernel        = Triangular
Eff. Number of obs |        84          68            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 50000.000   50000.000
       BW bias (b) | 50000.000   50000.000
         rho (h/b) |     1.000       1.000

Outcome: freeloanwithmiss_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00055     .00044   1.2426   0.214   -.000319      .001424
    Bias-corrected |  .00079     .00044   1.7833   0.075   -.000079      .001665
            Robust |  .00079     .00067   1.1788   0.238   -.000526      .002112
--------------------------------------------------------------------------------

. 
. * BANDWITH: 20 km
. 
. * change in jewish population
. 
. rdrobust change_jewish1900to1921 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        613
-------------------+----------------------            BW type       =     Manual
     Number of obs |       462         151            Kernel        = Triangular
Eff. Number of obs |        28          32            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: change_jewish1900to1921. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.04269     .13418   -0.3181  0.750   -.305674      .220302
    Bias-corrected | -.08191     .13418   -0.6105  0.542     -.3449      .181076
            Robust | -.08191     .16445   -0.4981  0.618    -.40423      .240405
--------------------------------------------------------------------------------

. 
. * # of public schools per capita
. 
. rdrobust schoolper10thousand distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        736
-------------------+----------------------            BW type       =     Manual
     Number of obs |       554         182            Kernel        = Triangular
Eff. Number of obs |        36          37            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: schoolper10thousand. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  2.6146      1.355   1.9296   0.054   -.041083      5.27023
    Bias-corrected |  2.3613      1.355   1.7427   0.081   -.294395      5.01692
            Robust |  2.3613     1.7392   1.3577   0.175   -1.04754      5.77006
--------------------------------------------------------------------------------

. 
. * literacy rates in 1931
. 
. rdrobust prop_imputedliterate1931 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        532
-------------------+----------------------            BW type       =     Manual
     Number of obs |       427         105            Kernel        = Triangular
Eff. Number of obs |        14          22            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_imputedliterate1931. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .05176     .03088   1.6764   0.094   -.008754      .112282
    Bias-corrected |  .05119     .03088   1.6577   0.097   -.009332      .111705
            Robust |  .05119     .04214   1.2147   0.224   -.031408      .133781
--------------------------------------------------------------------------------

. 
. * political variables
. 
. rdrobust prop_votes_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        745
-------------------+----------------------            BW type       =     Manual
     Number of obs |       551         194            Kernel        = Triangular
Eff. Number of obs |        35          36            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_votes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0497     .05274   -0.9423  0.346    -.15308      .053674
    Bias-corrected | -.02955     .05274   -0.5603  0.575   -.132929      .073824
            Robust | -.02955     .05612   -0.5266  0.598    -.13954      .080436
--------------------------------------------------------------------------------

. rdrobust prop_validvotes_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       545         194            Kernel        = Triangular
Eff. Number of obs |        35          36            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_validvotes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.03861     .05217   -0.7400  0.459   -.140861      .063647
    Bias-corrected | -.02571     .05217   -0.4928  0.622   -.127965      .076543
            Robust | -.02571      .0563   -0.4567  0.648   -.136059      .084638
--------------------------------------------------------------------------------

. rdrobust prop_list1_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        650
-------------------+----------------------            BW type       =     Manual
     Number of obs |       548         102            Kernel        = Triangular
Eff. Number of obs |        35          19            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list1_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.02654     .03104   -0.8551  0.392   -.087371       .03429
    Bias-corrected | -.01229     .03104   -0.3960  0.692   -.073122      .048539
            Robust | -.01229     .03214   -0.3824  0.702   -.075284      .050701
--------------------------------------------------------------------------------

. rdrobust prop_list2_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        645
-------------------+----------------------            BW type       =     Manual
     Number of obs |       527         118            Kernel        = Triangular
Eff. Number of obs |        35          29            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list2_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.01236     .02323   -0.5322  0.595   -.057895      .033167
    Bias-corrected | -.02403     .02323   -1.0343  0.301   -.069558      .021505
            Robust | -.02403       .027   -0.8899  0.374   -.076944      .028891
--------------------------------------------------------------------------------

. rdrobust prop_list3_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        591
-------------------+----------------------            BW type       =     Manual
     Number of obs |       404         187            Kernel        = Triangular
Eff. Number of obs |        35          36            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list3_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.03615     .03496   -1.0340  0.301   -.104665      .032372
    Bias-corrected | -.02208     .03496   -0.6315  0.528   -.090595      .046441
            Robust | -.02208     .04599   -0.4801  0.631   -.112214       .06806
--------------------------------------------------------------------------------

. rdrobust prop_list7_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        405
-------------------+----------------------            BW type       =     Manual
     Number of obs |       356          49            Kernel        = Triangular
Eff. Number of obs |        16          19            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list7_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .01466     .01939   0.7559   0.450   -.023351      .052668
    Bias-corrected |  .01981     .01939   1.0214   0.307   -.018201      .057817
            Robust |  .01981     .02362   0.8387   0.402    -.02648      .066096
--------------------------------------------------------------------------------

. rdrobust prop_list8_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        662
-------------------+----------------------            BW type       =     Manual
     Number of obs |       552         110            Kernel        = Triangular
Eff. Number of obs |        35          26            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list8_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.02387     .09281   -0.2572  0.797   -.205782      .158042
    Bias-corrected |    .013     .09281   0.1401   0.889   -.168911      .194913
            Robust |    .013     .11698   0.1111   0.912    -.21628      .242281
--------------------------------------------------------------------------------

. rdrobust prop_list16_1922 distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        557
-------------------+----------------------            BW type       =     Manual
     Number of obs |       363         194            Kernel        = Triangular
Eff. Number of obs |        24          36            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list16_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .06651     .08034   0.8279   0.408   -.090943      .223968
    Bias-corrected |  -.0174     .08034   -0.2166  0.829   -.174855      .140056
            Robust |  -.0174     .09989   -0.1742  0.862   -.213175      .178375
--------------------------------------------------------------------------------

. 
. * quality
. 
. rdrobust quality distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        538
-------------------+----------------------            BW type       =     Manual
     Number of obs |       413         125            Kernel        = Triangular
Eff. Number of obs |        22          33            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: quality. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.60143     .40838   -1.4727  0.141   -1.40184      .198981
    Bias-corrected |  -.3547     .40838   -0.8685  0.385   -1.15511      .445712
            Robust |  -.3547     .56544   -0.6273  0.530   -1.46295      .753551
--------------------------------------------------------------------------------

. 
. * informal associations: freeloan per capita
. 
. rdrobust freeloan_percapita distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        230
-------------------+----------------------            BW type       =     Manual
     Number of obs |       140          90            Kernel        = Triangular
Eff. Number of obs |         9          29            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: freeloan_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00074     .00095   0.7775   0.437   -.001121      .002596
    Bias-corrected |   .0008     .00095   0.8393   0.401   -.001063      .002654
            Robust |   .0008     .00125   0.6387   0.523   -.001646      .003238
--------------------------------------------------------------------------------

. 
. rdrobust freeloanwithmiss_percapita distance, kernel(triangular) p(1) h(20000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       547         192            Kernel        = Triangular
Eff. Number of obs |        36          37            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 20000.000   20000.000
       BW bias (b) | 20000.000   20000.000
         rho (h/b) |     1.000       1.000

Outcome: freeloanwithmiss_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00103     .00074   1.3862   0.166   -.000427      .002488
    Bias-corrected |  .00125     .00074   1.6830   0.092   -.000206      .002708
            Robust |  .00125     .00107   1.1742   0.240   -.000837       .00334
--------------------------------------------------------------------------------

. 
. * BANDWITH: 10 km
. 
. * change in jewish population
. 
. rdrobust change_jewish1900to1921 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        613
-------------------+----------------------            BW type       =     Manual
     Number of obs |       462         151            Kernel        = Triangular
Eff. Number of obs |        16          20            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: change_jewish1900to1921. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.04434     .15381   -0.2883  0.773   -.345798      .257121
    Bias-corrected |  .02222     .15381   0.1444   0.885   -.279242      .323677
            Robust |  .02222     .27522   0.0807   0.936   -.517202      .561637
--------------------------------------------------------------------------------

. 
. * # of public schools per capita
. 
. rdrobust schoolper10thousand distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        736
-------------------+----------------------            BW type       =     Manual
     Number of obs |       554         182            Kernel        = Triangular
Eff. Number of obs |        22          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: schoolper10thousand. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  2.1133     1.6533   1.2782   0.201   -1.12716      5.35375
    Bias-corrected |  -1.683     1.6533   -1.0179  0.309   -4.92341      1.55749
            Robust |  -1.683     2.3598   -0.7132  0.476   -6.30802       2.9421
--------------------------------------------------------------------------------

. 
. * literacy rates in 1931
. 
. rdrobust prop_imputedliterate1931 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        532
-------------------+----------------------            BW type       =     Manual
     Number of obs |       427         105            Kernel        = Triangular
Eff. Number of obs |         7          15            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_imputedliterate1931. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .04134     .04039   1.0235   0.306   -.037823      .120507
    Bias-corrected | -.01692     .04039   -0.4189  0.675   -.096084      .062246
            Robust | -.01692      .0735   -0.2302  0.818   -.160986      .127148
--------------------------------------------------------------------------------

. 
. * political variables
. 
. rdrobust prop_votes_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        745
-------------------+----------------------            BW type       =     Manual
     Number of obs |       551         194            Kernel        = Triangular
Eff. Number of obs |        21          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_votes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.01465     .05094   -0.2875  0.774    -.11448      .085188
    Bias-corrected |  .03272     .05094   0.6424   0.521    -.06711      .132557
            Robust |  .03272     .10948   0.2989   0.765   -.181852        .2473
--------------------------------------------------------------------------------

. rdrobust prop_validvotes_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       545         194            Kernel        = Triangular
Eff. Number of obs |        21          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_validvotes_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.01552     .05137   -0.3022  0.762   -.116205      .085156
    Bias-corrected |  .03015     .05137   0.5870   0.557   -.070526      .130834
            Robust |  .03015     .10982   0.2746   0.784   -.185091      .245399
--------------------------------------------------------------------------------

. rdrobust prop_list1_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        650
-------------------+----------------------            BW type       =     Manual
     Number of obs |       548         102            Kernel        = Triangular
Eff. Number of obs |        21          13            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list1_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.00646     .02963   -0.2181  0.827   -.064541      .051613
    Bias-corrected |  .02347     .02963   0.7920   0.428   -.034609      .081545
            Robust |  .02347     .06185   0.3794   0.704   -.097758      .144693
--------------------------------------------------------------------------------

. rdrobust prop_list2_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        645
-------------------+----------------------            BW type       =     Manual
     Number of obs |       527         118            Kernel        = Triangular
Eff. Number of obs |        21          18            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list2_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.02741     .02535   -1.0814  0.280   -.077086      .022268
    Bias-corrected | -.05815     .02535   -2.2941  0.022   -.107822     -.008468
            Robust | -.05815     .04005   -1.4519  0.147   -.136635      .020345
--------------------------------------------------------------------------------

. rdrobust prop_list3_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        591
-------------------+----------------------            BW type       =     Manual
     Number of obs |       404         187            Kernel        = Triangular
Eff. Number of obs |        21          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list3_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.02524     .04264   -0.5918  0.554   -.108813       .05834
    Bias-corrected | -.04591     .04264   -1.0765  0.282   -.129482      .037671
            Robust | -.04591     .06655   -0.6898  0.490   -.176347      .084536
--------------------------------------------------------------------------------

. rdrobust prop_list7_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        405
-------------------+----------------------            BW type       =     Manual
     Number of obs |       356          49            Kernel        = Triangular
Eff. Number of obs |        11          13            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list7_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .02074     .02326   0.8918   0.373   -.024845      .066327
    Bias-corrected |  .03054     .02326   1.3131   0.189   -.015046      .076126
            Robust |  .03054     .02863   1.0668   0.286   -.025571      .086651
--------------------------------------------------------------------------------

. rdrobust prop_list8_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        662
-------------------+----------------------            BW type       =     Manual
     Number of obs |       552         110            Kernel        = Triangular
Eff. Number of obs |        21          18            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list8_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .01982     .11117   0.1783   0.859   -.198077      .237716
    Bias-corrected |  .12586     .11117   1.1321   0.258   -.092034       .34376
            Robust |  .12586     .18108   0.6951   0.487   -.229053      .480779
--------------------------------------------------------------------------------

. rdrobust prop_list16_1922 distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        557
-------------------+----------------------            BW type       =     Manual
     Number of obs |       363         194            Kernel        = Triangular
Eff. Number of obs |        16          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: prop_list16_1922. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00706     .09662   0.0731   0.942   -.182311      .196439
    Bias-corrected | -.09331     .09662   -0.9658  0.334   -.282688      .096063
            Robust | -.09331     .12912   -0.7227  0.470   -.346391      .159766
--------------------------------------------------------------------------------

. 
. * quality
. 
. rdrobust quality distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        538
-------------------+----------------------            BW type       =     Manual
     Number of obs |       413         125            Kernel        = Triangular
Eff. Number of obs |        12          21            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: quality. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.18686     .53673   -0.3481  0.728   -1.23883      .865118
    Bias-corrected |  .29381     .53673   0.5474   0.584   -.758161      1.34579
            Robust |  .29381     .82618   0.3556   0.722   -1.32546      1.91309
--------------------------------------------------------------------------------

. 
. * informal associations: freeloan per capita
. 
. *rdrobust freeloan_percapita distance, kernel(triangular) p(1) h(10000) all
. 
. rdrobust freeloanwithmiss_percapita distance, kernel(triangular) p(1) h(10000) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =     Manual
     Number of obs |       547         192            Kernel        = Triangular
Eff. Number of obs |        22          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 10000.000   10000.000
       BW bias (b) | 10000.000   10000.000
         rho (h/b) |     1.000       1.000

Outcome: freeloanwithmiss_percapita. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .00119     .00106   1.1270   0.260   -.000881      .003265
    Bias-corrected |  .00121     .00106   1.1482   0.251   -.000859      .003287
            Robust |  .00121     .00133   0.9147   0.360   -.001388      .003817
--------------------------------------------------------------------------------

. 
. 
. *** CHANGE IN JEWISH POPULATION 1850-1900, 1850-1930, 1900-1930
. 
. . rdrobust change_jewish1850to1900 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        200
-------------------+----------------------            BW type       =      mserd
     Number of obs |       156          44            Kernel        = Triangular
Eff. Number of obs |        56          27            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.07e+05    1.07e+05
       BW bias (b) |  1.39e+05    1.39e+05
         rho (h/b) |     0.769       0.769

Outcome: change_jewish1850to1900. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  1.1117     .91862   1.2102   0.226   -.688766      2.91216
    Bias-corrected |  1.4638     .91862   1.5935   0.111   -.336627       3.2643
            Robust |  1.4638     .91414   1.6013   0.109   -.327834      3.25551
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. . rdrobust change_jewish1850to1930 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        200
-------------------+----------------------            BW type       =      mserd
     Number of obs |       156          44            Kernel        = Triangular
Eff. Number of obs |        32          18            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 57620.801   57620.801
       BW bias (b) | 84526.250   84526.250
         rho (h/b) |     0.682       0.682

Outcome: change_jewish1850to1930. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.18385     .48767   -0.3770  0.706   -1.13967      .771964
    Bias-corrected | -.29343     .48767   -0.6017  0.547   -1.24924       .66239
            Robust | -.29343     .49506   -0.5927  0.553   -1.26372       .67687
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. . rdrobust change_jewish1900to1930 distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        227
-------------------+----------------------            BW type       =      mserd
     Number of obs |       179          48            Kernel        = Triangular
Eff. Number of obs |        53          23            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 83551.776   83551.776
       BW bias (b) |  1.50e+05    1.50e+05
         rho (h/b) |     0.558       0.558

Outcome: change_jewish1900to1930. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.27985     .14872   -1.8817  0.060   -.571336      .011634
    Bias-corrected | -.30207     .14872   -2.0312  0.042   -.593559     -.010589
            Robust | -.30207     .17156   -1.7608  0.078   -.638316      .034168
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. 
. * Public Libraries
. 
. rdrobust public_libraries distance if type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        595
-------------------+----------------------            BW type       =      mserd
     Number of obs |       485         110            Kernel        = Triangular
Eff. Number of obs |       139          73            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.25e+05    1.25e+05
       BW bias (b) |  1.78e+05    1.78e+05
         rho (h/b) |     0.702       0.702

Outcome: public_libraries. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.44367     .33542   -1.3227  0.186   -1.10109      .213755
    Bias-corrected | -.40623     .33542   -1.2111  0.226   -1.06365      .251195
            Robust | -.40623     .39664   -1.0242  0.306   -1.18363      .371174
--------------------------------------------------------------------------------

. 
. rdrobust cap_publiclibraries distance if type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        580
-------------------+----------------------            BW type       =      mserd
     Number of obs |       472         108            Kernel        = Triangular
Eff. Number of obs |       119          67            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.11e+05    1.11e+05
       BW bias (b) |  1.62e+05    1.62e+05
         rho (h/b) |     0.686       0.686

Outcome: cap_publiclibraries. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.07166     .18643   -0.3844  0.701   -.437049      .293738
    Bias-corrected |  -.0829     .18643   -0.4447  0.657   -.448291      .282497
            Robust |  -.0829     .22504   -0.3684  0.713    -.52397      .358175
--------------------------------------------------------------------------------

. 
. 
. * Traditional Heder
. 
. rdrobust caphedertrad_any distance if pinkas==1 & type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        522
-------------------+----------------------            BW type       =      mserd
     Number of obs |       415         107            Kernel        = Triangular
Eff. Number of obs |       155          77            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.39e+05    1.39e+05
       BW bias (b) |  1.90e+05    1.90e+05
         rho (h/b) |     0.731       0.731

Outcome: caphedertrad_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .12769     .14394   0.8871   0.375   -.154421      .409799
    Bias-corrected |  .11807     .14394   0.8203   0.412    -.16404      .400181
            Robust |  .11807     .13712   0.8611   0.389   -.150675      .386815
--------------------------------------------------------------------------------

. 
. 
. * Pogroms of 1941
. 
. rdrobust pogrom_withmissingto0 distance if type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        628
-------------------+----------------------            BW type       =      mserd
     Number of obs |       510         118            Kernel        = Triangular
Eff. Number of obs |       126          70            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.12e+05    1.12e+05
       BW bias (b) |  1.56e+05    1.56e+05
         rho (h/b) |     0.714       0.714

Outcome: pogrom_withmissingto0. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.12769     .14433   -0.8847  0.376    -.41058      .155198
    Bias-corrected | -.11768     .14433   -0.8153  0.415    -.40057      .165208
            Robust | -.11768     .17045   -0.6904  0.490   -.451763      .216402
--------------------------------------------------------------------------------

. 
. 
. ** MILITARY FRONTS
. 
. * Evacuation orders by Russian military (until early fall 1915), following information in Goldin (2022)
. 
. * Construction of variables
. 
. * variable for each moment: _may01 _june01 _july13 _august15 _sept30
. * frontline==1 if any of previous variables is 1
. 
. 
. rdrobust frontline distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Triangular
Eff. Number of obs |       111          66            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.02e+05    1.02e+05
       BW bias (b) |  1.44e+05    1.44e+05
         rho (h/b) |     0.711       0.711

Outcome: frontline. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.07524     .15937   -0.4721  0.637   -.387595      .237124
    Bias-corrected | -.05805     .15937   -0.3643  0.716   -.370412      .254307
            Robust | -.05805     .18791   -0.3089  0.757   -.426355      .310249
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Covariate-adjusted estimates. Additional covariates included: 1

. 
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